Search Results - subject:"Spline interpolation"

An Analytical Evaluation Method of the Operational Risk Using Fast Wavelet Expansion Techniques

Ishitani, Kensuke; Sato, Kenichi - In: Asia-Pacific Financial Markets 20 (2013) 3, pp. 283-309

algorithm to accelerate the convergence of those series, (5) Efficient cubic spline interpolation method to calculate the moment …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010989068

An examination of tourist arrivals dynamics using short-term time series data : a space-time cluster approach

Gursoy, Dogan; Parroco, Anna Maria; Scuderi, Raffaele - In: Tourism economics : the business and finance of tourism … 19 (2013) 4, pp. 761-777

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010232616

Numerical method to calculate Gini coefficient from limited data of subgroups

Huang, Weidong - In: Applied economics letters 20 (2013) 13/15, pp. 1249-1253

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010198510

An analytical evaluation method of the operational risk using fast wavelet expansion techniques

Ishitani, Kensuke; Sato, Kenichi - In: Asia-Pacific financial markets 20 (2013) 3, pp. 283-309

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010188301

A New Gridding Method for Zonal Travel Activity and Emissions Using Bicubic Spline Interpolation

Zheng, Yi; Wang, Bo; Zhang, H. Michael; Niemeier, Debbie - Institute for Transportation Studies (ITS), University … - 2003

-level emissions using a bicubic spline interpolation function and activity and roadway densities. The new approach, which betters …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010817916

Critical analysis of methods for mathematical modelling of wind turbines

Thapar, Vinay; Agnihotri, Gayatri; Sethi, Vinod Krishna - In: Renewable Energy 36 (2011) 11, pp. 3166-3177

Accurate modelling is crucial in designing an optimum system. Wind speed distribution of selected site, hub height and power output curve of chosen wind turbine, are the main factors which influence the performance of wind turbines, and therefore, these must be properly accounted for during...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010807234

Non parametric estimation of smooth stationary covariance functions by interpolation methods

Elogne, S.; Perrin, O.; Thomas-Agnan, C. - In: Statistical Inference for Stochastic Processes 11 (2008) 2, pp. 177-205

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005616055

Analysing fertility trends through Schmertmann's model: Italy and Sweden compared

Carioli, Alessandra - "Carlo F. Dondena" Centre for Research on Social … - 2008

this work is based upon quadratic spline interpolation procedure, developed by Carl P. Schmertmann (2003), in which three …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10008539849

Flexible Approximation of Subjective Expectations Using Probability Questions: An Application to the Investment Game

Bissonnette, Luc; Bellemare, Charles; Kröger, Sabine - Institute for the Study of Labor (IZA) - 2007

We use spline interpolation to approximate the subjective cumulative distribution function of an economic agent over …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005822631

Area-to-point Kriging with inequality-type data

Yoo, E.-H.; Kyriakidis, P. - In: Journal of Geographical Systems 8 (2006) 4, pp. 357-390

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005075531